The Holt-Winters additive model applies to time series whose amplitude increases or decreases over time.

Name: The Holt-Winters additive model applies to time series whose amplitude increases or decreases over time.
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The Holt-Winters additive model is best suited for time series data where the seasonal variations are roughly constant over time. For time series whose amplitude (seasonal variations) increases or decreases over time, the Holt-Winters multiplicative model is more appropriate.

The Holt-Winters Additive Model Applies to Time Series Whose Amplitude